%S Lecture Notes in Computer Science
%K Adaptation; self-assembly; swarms; ensembles; Maude 
%A Roberto Bruni
%A Andrea Corradini
%A Fabio Gadducci
%A Alberto Lluch-Lafuente
%A Andrea Vandin
%D 2012
%L eprints1048
%X Building adaptive systems with predictable emergent behavior is a challenging task and it is becoming a critical need. The research community has accepted the challenge by introducing approaches of various nature: from software architectures, to programming paradigms, to analysis techniques. We recently proposed a conceptual framework for adaptation centered around the role of control data. In this paper we show that it can be naturally realized in a reflective logical language like Maude by using the Reflective Russian Dolls model. Moreover, we exploit this model to specify and analyse a prominent example of adaptive system: robot swarms equipped with obstacle-avoidance self-assembly strategies. The analysis exploits the statistical model checker PVesta.
%B Rewriting Logic and Its Applications
%N 7571
%R 10.1007/978-3-642-34005-5_7
%P 118-138
%T Modelling and analyzing adaptive self-assembling strategies with Maude
%O 9th International Workshop, WRLA 2012, Held as a Satellite Event of ETAPS, Tallinn, Estonia, March 24-25, 2012, Revised Selected Papers
%I Springer